1. Bluebeam, Keystone & Miniskirt and Trigger Efficiency Study
Ye Li
Physics Graduate Student
UW - Madison

2. Updated datasets Datasets: Not much gain by loosening cuts bhmubd
bhmubh
bhmubi
bhmubj
bmubbd
bmubbh
bmubbi
Bmubbj
Not much gain by loosening cuts

5. The three histograms are:
no trigger required
total entries:
CMUP18 or CMX18 on
total entries:
CMUP18, CMX18 or L3BMU on
total entries:
Still fewer than 1% additional events in the entire bhmubd~bj + bmubbd~bj datasets

6. Trigger Path: BMU9_L1_BMU10_BSU_P11
Entries: 1897

7. The above: bhmubd + bmubbd
The bottom: bhmubh + bmubbh

8. The above: bhmubi + bmubbi
The bottom: bhmubj + bmubbj

9. Bluebeam, Miniskirt and Keystone

10. Gain from bluebeam, miniskirt and keystone regions ~12%
Total entries:
No Bluebeam:
No Miniskirt: 96510
No Keystone:
Without all three regions: 93365
Gain from bluebeam, miniskirt and keystone regions ~12%
Gain most from Miniskirt ~8%

11. Trigger Efficiency for B M K regions
Use Z-muon events with run number >186598

12. Trigger Efficiency Summary
1. Z Muons, with one leg as CMUP muon, passing CMUP18 trigger, and the other as Miniskirt or Keystone muon; CMX18 trigger efficiency:
Miniskirt (total: 2663) trigger efficiency: 1653/2663 =
Keystone (total: 752) trigger efficiency: 569/752 =
2. Z Muons, with one leg as CMX muon, passing CMX18 trigger, and the other as Miniskirt or Keystone muon; CMUP18 trigger efficiency:
Bluebeam (total: 91) trigger efficiency: 91/91 = 1+-0 (calculation not valid here)

13. Trigger Efficiency Summary
3. Z Muons, with one leg as CMUP muon, having no trigger requirement and the other as Miniskirt or Keystone Muon; CMX18 trigger efficiency:
Miniskirt (total: 2667) trigger efficiency: 1657/2667 =
Keystone (total: 753) trigger efficiency: 570/753 =
4. Z Muons, with both legs as CMUP muons, passing CMUP18 trigger, and one or both are Bluebeam muons; Entries: 333

14. Next Step
Use MC Z->mumu datasets: ze1s6m, ze1s9m, ze0sbm, ze0scm, ze0sdm, ze0sem;
Study the efficiency of Muon identification using MC data (plotting its Pt distribution), and focus mainly on E_em and E_had cuts;
Study MC fake events by our own simulation. Use present MC datasets to implement the detector geometry information on our generated events.

15. Thanks!